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Publication detail
KNEBL, L.
Original Title
Preference based and ideal multi-objective optimization applied on a high-torque ferrite assisted synchronous reluctance machine
Type
conference paper
Language
English
Original Abstract
This paper introduces comparison of optimization algorithms applied on high-torque ferrite-assisted synchronous reluctance machine. The comparison is focused not solely on two algorithms within the same multi-objective optimization approach - preference based or ideal, but also on comparison of these two approaches. The genetic algorithm and self-organizing migrating algorithm in both approaches are used to find optimal solution. The optimiation goal is an optimal parameter combination to achieve the highest torque and power factor, while developing the lowest torque ripple. The optimized design will be evaluateed by the 2D finite element analysis in steady-state analysis.
Keywords
steady-state, synchronous reluctance motor, finite element analysis, optimization
Authors
Released
27. 4. 2021
Publisher
Brno University of Technology, Faulty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-5943-4
Book
Proceeding II of the 27th Converence Student EEICT 2021 Selected papers
Edition
1
Pages from
235
Pages to
239
Pages count
5
URL
https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf
BibTex
@inproceedings{BUT176403, author="Ladislav {Knebl}", title="Preference based and ideal multi-objective optimization applied on a high-torque ferrite assisted synchronous reluctance machine", booktitle="Proceeding II of the 27th Converence Student EEICT 2021 Selected papers", year="2021", series="1", pages="235--239", publisher="Brno University of Technology, Faulty of Electrical Engineering and Communication", address="Brno", doi="10.13164/eeict.2021.235", isbn="978-80-214-5943-4", url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf" }